Building blocks of a course for aspiring AI-Ethicists
Murat Durmus

Building blocks of a course for aspiring AI-Ethicists

I've been thinking about what the building blocks of a course for aspiring AI-Ethicists might look like. From the points below, it quickly becomes clear that the field of activity of AI ethicists is very interdisciplinary and challenging.

The points serve as a suggestion and you are welcome to suggest further points in the comments.

◆ History and Philosophy of AI

◆ Key concepts and types of AI (Machine Learning)

  • Supervised Learning
  • Unsupervised Learning
  • Semi-Supervised Learning
  • Self-Supervised Learning
  • Reinforcement Learning
  • Strong & Weak AI
  • o Difference between classical programming, statistics, and machine learning

◆ Data Awareness & Literacy

◆ Data Ethics Concepts

◆ The future of AI (what can we expect)

◆ Ethical Theories

  • Utilitarian
  • Rights-based ethics

◆ Ethical implications of AI

◆ Technology and the Greater Human Good

◆ Core ethical principles

  • Diversity, non-discrimination, and fairness
  • Transparency
  • Accountability
  • Explainability
  • Human agency and oversight
  • Technical robustness and safety
  • Privacy and data governance
  • Societal and environmental wellbeing

◆ Gender transformative operationalization of ai principles

◆ Human Rights & AI

◆ Cognitive Biases

◆ Types of Algorithmic Bias

◆ How to investigate and identify bias in algorithmic decisions

◆ Challenges of explainability & interpretability

◆ Privacy (Privacy-Preserving Machine Learning/Federated Learning)

◆ Ethical and moral issues associated with the development and implementation of AI

◆ How to make AI GDPR Compliant

◆ AI Regulation

◆ The criminal potential of AI

◆ The psychological and sociological aspects of AI

◆ Investigating Human-Machine interaction

◆ Concepts for ethical AI in education

◆ Human & Nature Centric AI

◆ Economics of Intelligent Automation

◆ How to put AI Ethics into practice

◆ Artificial Intelligence & Law

◆ Measuring & auditing AI applications


last not but least: "A kind of Mantra" (source: The AI Thought Book)

AI Mantra - THE AI THOUGHT BOOK

Murat

Carmen L Bonilla

Coach, Facilitator, Organizational Consultant | Job Search, Leadership | Bilingual Spanish ? Remote

2 年

Dawn, in case this is of interest

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Andrea Benoni

KnowledgeHyperGraph.ai KHG, massive IoT, Privacy by Design

2 年

Regarding the "Philosophy of Cognitive sciences" and ethics, I would investigate more the relation between current technologies and the challenges of reductionism as I think is crucial in most applications in complex domains. I find it underestimate in most evaluations from the big picture and top-down approach

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Natalie Erdmann

Managing Partner Synwisery I AI Passionista for better Health + Tech I B2B, B2C Success Advisor I Strategist I Brand + Trust Builder I Fractional CMO I Speaker I Crisis Communication Expert I #WomensHealth I #Longevity

2 年

Like this, thanks, Murat Durmus! Probably you would like to add the aspect of AI education?

Jeff Felice

Helping organizations bridge the skills gap while providing individuals with pathways towards rewarding careers in tech.

2 年

Murat Durmus - you should check out CertNexus' existing course on Coursera - https://www.coursera.org/professional-certificates/certified-ethical-emerging-technologist? which maps to a certification - https://certnexus.com/certification/ceet/ - created with industry peers. I don't mean this as self-promotion, but more to build awareness regarding one option that is currently available for aspiring ethicists. ??

Varun Madiyal

I help insurers to build digital & data driven solutions | Analytics & Insights | ML & AI | HealthTech & InsureTech | Speaker & Author | Thought Leadership & Mentoring |

2 年

Insightful read on AI ??

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